{"id":1132833,"date":"2025-01-08T21:00:53","date_gmt":"2025-01-08T13:00:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1132833.html"},"modified":"2025-01-08T21:01:11","modified_gmt":"2025-01-08T13:01:11","slug":"python%e7%94%bb%e5%9b%be%e5%a6%82%e4%bd%95%e6%8a%8a%e7%82%b9%e7%94%a8%e7%ba%bf%e4%b8%b2%e8%b5%b7%e6%9d%a5%e6%9d%a5","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1132833.html","title":{"rendered":"python\u753b\u56fe\u5982\u4f55\u628a\u70b9\u7528\u7ebf\u4e32\u8d77\u6765\u6765"},"content":{"rendered":"

\"python\u753b\u56fe\u5982\u4f55\u628a\u70b9\u7528\u7ebf\u4e32\u8d77\u6765\u6765\"<\/p>\n

Python\u7ed8\u56fe\uff1a\u5982\u4f55\u5c06\u70b9\u7528\u7ebf\u8fde\u63a5\u8d77\u6765<\/strong><\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u3001\u4f7f\u7528plot\u51fd\u6570\u3001\u4f7f\u7528scatter\u51fd\u6570\u3001\u4f7f\u7528\u7ebf\u6761\u6837\u5f0f\u3001\u5904\u7406\u591a\u7ec4\u6570\u636e<\/strong>\u7b49\u65b9\u5f0f\u53ef\u4ee5\u5c06\u70b9\u901a\u8fc7\u7ebf\u8fde\u63a5\u8d77\u6765\u3002\u5176\u4e2d\uff0c\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528Matplotlib\u5e93\u4e2d\u7684plot\u51fd\u6570\u3002\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\u5b9e\u73b0\u70b9\u7684\u8fde\u63a5\uff0c\u5e76\u63a2\u8ba8\u4e0d\u540c\u573a\u666f\u4e0b\u7684\u5e94\u7528\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Matplotlib\u5e93<\/h3>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u80fd\u591f\u8f7b\u677e\u5b9e\u73b0\u5404\u79cd\u56fe\u8868\u7684\u7ed8\u5236\u3002\u4f7f\u7528\u5b83\u7ed8\u5236\u6298\u7ebf\u56fe\u975e\u5e38\u7b80\u5355\uff1a<\/p>\n<\/p>\n

    \n
  1. \n

    \u5b89\u88c5Matplotlib\u5e93<\/strong><\/p>\n<\/p>\n

    \u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install matplotlib<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u7ed8\u5236\u7b80\u5355\u7684\u6298\u7ebf\u56fe<\/strong><\/p>\n<\/p>\n
    \u4f7f\u7528Matplotlib\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5c06\u4e00\u7ec4\u70b9\u7528\u7ebf\u8fde\u63a5\u8d77\u6765\uff1a<\/p>\n<\/p>\n
    import matplotlib.pyplot as plt<\/p>\n
    \u6570\u636e<\/strong><\/h2>\n
    x = [1, 2, 3, 4, 5]<\/p>\n
    y = [2, 3, 5, 7, 11]<\/p>\n
    \u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
    plt.plot(x, y)<\/p>\n
    \u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
    plt.show()<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u4f7f\u7528plot\u51fd\u6570<\/h3>\n<\/p>\n
    plot\u51fd\u6570\u662fMatplotlib\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u51fd\u6570\uff0c\u53ef\u4ee5\u7528\u6765\u7ed8\u5236\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      plot\u51fd\u6570\u7684\u57fa\u672c\u7528\u6cd5<\/strong><\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      x = [1, 2, 3, 4, 5]<\/p>\n
      y = [2, 3, 5, 7, 11]<\/p>\n
      plt.plot(x, y)  # \u4f7f\u7528plot\u51fd\u6570\u7ed8\u5236\u6298\u7ebf\u56fe<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      plot\u51fd\u6570\u7684\u9ad8\u7ea7\u7528\u6cd5<\/strong><\/p>\n<\/p>\n
      plot\u51fd\u6570\u63d0\u4f9b\u4e86\u8bb8\u591a\u53c2\u6570\uff0c\u53ef\u4ee5\u7528\u6765\u5b9a\u5236\u56fe\u5f62\u7684\u5916\u89c2\uff1a<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      x = [1, 2, 3, 4, 5]<\/p>\n
      y = [2, 3, 5, 7, 11]<\/p>\n
      plt.plot(x, y, marker='o', linestyle='-', color='b', label='Data')  # \u81ea\u5b9a\u4e49\u7ebf\u6761\u6837\u5f0f<\/p>\n
      plt.xlabel('X-axis')<\/p>\n
      plt.ylabel('Y-axis')<\/p>\n
      plt.title('Line Plot Example')<\/p>\n
      plt.legend()<\/p>\n
      plt.grid(True)<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u4f7f\u7528scatter\u51fd\u6570<\/h3>\n<\/p>\n
      scatter\u51fd\u6570\u901a\u5e38\u7528\u6765\u7ed8\u5236\u6563\u70b9\u56fe\uff0c\u4f46\u4e5f\u53ef\u4ee5\u4e0eplot\u51fd\u6570\u7ed3\u5408\u4f7f\u7528\u6765\u5b9e\u73b0\u70b9\u7684\u8fde\u63a5\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u7ed8\u5236\u6563\u70b9\u56fe<\/strong><\/p>\n<\/p>\n
        import matplotlib.pyplot as plt<\/p>\n
        x = [1, 2, 3, 4, 5]<\/p>\n
        y = [2, 3, 5, 7, 11]<\/p>\n
        plt.scatter(x, y)  # \u4f7f\u7528scatter\u51fd\u6570\u7ed8\u5236\u6563\u70b9\u56fe<\/p>\n
        plt.show()<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u7ed3\u5408plot\u548cscatter\u51fd\u6570<\/strong><\/p>\n<\/p>\n
        import matplotlib.pyplot as plt<\/p>\n
        x = [1, 2, 3, 4, 5]<\/p>\n
        y = [2, 3, 5, 7, 11]<\/p>\n
        plt.scatter(x, y, color='red')  # \u7ed8\u5236\u6563\u70b9\u56fe<\/p>\n
        plt.plot(x, y, color='blue')    # \u7ed8\u5236\u6298\u7ebf\u56fe<\/p>\n
        plt.show()<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u4f7f\u7528\u7ebf\u6761\u6837\u5f0f<\/h3>\n<\/p>\n
        Matplotlib\u5141\u8bb8\u6211\u4eec\u81ea\u5b9a\u4e49\u7ebf\u6761\u7684\u6837\u5f0f\u3001\u989c\u8272\u3001\u6807\u8bb0\u7b49\uff0c\u8fd9\u6837\u53ef\u4ee5\u4f7f\u56fe\u5f62\u66f4\u5177\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u7ebf\u6761\u6837\u5f0f<\/strong><\/p>\n<\/p>\n
          import matplotlib.pyplot as plt<\/p>\n
          x = [1, 2, 3, 4, 5]<\/p>\n
          y = [2, 3, 5, 7, 11]<\/p>\n
          plt.plot(x, y, linestyle='--', color='g')  # \u4f7f\u7528\u865a\u7ebf<\/p>\n
          plt.show()<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n
        2. \n
          \u6807\u8bb0\u6837\u5f0f<\/strong><\/p>\n<\/p>\n
          import matplotlib.pyplot as plt<\/p>\n
          x = [1, 2, 3, 4, 5]<\/p>\n
          y = [2, 3, 5, 7, 11]<\/p>\n
          plt.plot(x, y, marker='o', markersize=10, markerfacecolor='red')  # \u81ea\u5b9a\u4e49\u6807\u8bb0\u6837\u5f0f<\/p>\n
          plt.show()<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u5904\u7406\u591a\u7ec4\u6570\u636e<\/h3>\n<\/p>\n
          \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u7ecf\u5e38\u9700\u8981\u5728\u540c\u4e00\u4e2a\u56fe\u4e2d\u7ed8\u5236\u591a\u7ec4\u6570\u636e\u3002Matplotlib\u5141\u8bb8\u6211\u4eec\u901a\u8fc7\u591a\u6b21\u8c03\u7528plot\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n
            \n
          1. \n
            \u7ed8\u5236\u591a\u7ec4\u6570\u636e<\/strong><\/p>\n<\/p>\n
            import matplotlib.pyplot as plt<\/p>\n
            x1 = [1, 2, 3, 4, 5]<\/p>\n
            y1 = [2, 3, 5, 7, 11]<\/p>\n
            x2 = [1, 2, 3, 4, 5]<\/p>\n
            y2 = [1, 4, 6, 8, 10]<\/p>\n
            plt.plot(x1, y1, label='Dataset 1')<\/p>\n
            plt.plot(x2, y2, label='Dataset 2')<\/p>\n
            plt.legend()<\/p>\n
            plt.show()<\/p>\n
            <\/code><\/pre>\n<\/p>\n<\/li>\n
          2. \n
            \u4f7f\u7528\u4e0d\u540c\u7684\u7ebf\u6761\u6837\u5f0f<\/strong><\/p>\n<\/p>\n
            import matplotlib.pyplot as plt<\/p>\n
            x1 = [1, 2, 3, 4, 5]<\/p>\n
            y1 = [2, 3, 5, 7, 11]<\/p>\n
            x2 = [1, 2, 3, 4, 5]<\/p>\n
            y2 = [1, 4, 6, 8, 10]<\/p>\n
            plt.plot(x1, y1, linestyle='-', color='b', label='Dataset 1')<\/p>\n
            plt.plot(x2, y2, linestyle='--', color='r', label='Dataset 2')<\/p>\n
            plt.legend()<\/p>\n
            plt.show()<\/p>\n
            <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
            \u516d\u3001\u5b9e\u9645\u5e94\u7528\u793a\u4f8b<\/h3>\n<\/p>\n
            \u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u6211\u4eec\u5c06\u901a\u8fc7\u4e00\u4e2a\u5177\u4f53\u793a\u4f8b\u6765\u5c55\u793a\u5982\u4f55\u5c06\u70b9\u7528\u7ebf\u8fde\u63a5\u8d77\u6765\uff0c\u5e76\u6dfb\u52a0\u56fe\u4f8b\u3001\u7f51\u683c\u7ebf\u3001\u8f74\u6807\u7b7e\u7b49\u3002<\/p>\n<\/p>\n
              \n
            1. \n
              \u7ed8\u5236\u80a1\u7968\u4ef7\u683c\u8d70\u52bf<\/strong><\/p>\n<\/p>\n
              import matplotlib.pyplot as plt<\/p>\n
              import datetime<\/p>\n
              \u65e5\u671f\u548c\u4ef7\u683c\u6570\u636e<\/strong><\/h2>\n
              dates = [datetime.datetime(2021, 1, 1), datetime.datetime(2021, 2, 1), datetime.datetime(2021, 3, 1),<\/p>\n
                       datetime.datetime(2021, 4, 1), datetime.datetime(2021, 5, 1)]<\/p>\n
              prices = [100, 110, 105, 115, 120]<\/p>\n
              \u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
              plt.plot(dates, prices, marker='o', linestyle='-', color='b')<\/p>\n
              \u6dfb\u52a0\u56fe\u4f8b<\/strong><\/h2>\n
              plt.legend(['Stock Price'])<\/p>\n
              \u6dfb\u52a0\u8f74\u6807\u7b7e\u548c\u6807\u9898<\/strong><\/h2>\n
              plt.xlabel('Date')<\/p>\n
              plt.ylabel('Price')<\/p>\n
              plt.title('Stock Price Trend')<\/p>\n
              \u6dfb\u52a0\u7f51\u683c\u7ebf<\/strong><\/h2>\n
              plt.grid(True)<\/p>\n
              \u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
              plt.show()<\/p>\n
              <\/code><\/pre>\n<\/p>\n<\/li>\n
            2. \n
              \u7ed8\u5236\u591a\u7ec4\u6570\u636e<\/strong><\/p>\n<\/p>\n
              import matplotlib.pyplot as plt<\/p>\n
              \u6570\u636e<\/strong><\/h2>\n
              x = [1, 2, 3, 4, 5]<\/p>\n
              y1 = [2, 3, 5, 7, 11]<\/p>\n
              y2 = [1, 4, 6, 8, 10]<\/p>\n
              \u7ed8\u5236\u591a\u7ec4\u6570\u636e<\/strong><\/h2>\n
              plt.plot(x, y1, marker='o', linestyle='-', color='b', label='Dataset 1')<\/p>\n
              plt.plot(x, y2, marker='x', linestyle='--', color='r', label='Dataset 2')<\/p>\n
              \u6dfb\u52a0\u56fe\u4f8b<\/strong><\/h2>\n
              plt.legend()<\/p>\n
              \u6dfb\u52a0\u8f74\u6807\u7b7e\u548c\u6807\u9898<\/strong><\/h2>\n
              plt.xlabel('X-axis')<\/p>\n
              plt.ylabel('Y-axis')<\/p>\n
              plt.title('Multiple Datasets')<\/p>\n
              \u6dfb\u52a0\u7f51\u683c\u7ebf<\/strong><\/h2>\n
              plt.grid(True)<\/p>\n
              \u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
              plt.show()<\/p>\n
              <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
              \u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\u548c\u793a\u4f8b\uff0c\u6211\u4eec\u53ef\u4ee5\u7075\u6d3b\u5730\u4f7f\u7528Python\u4e2d\u7684Matplotlib\u5e93\u6765\u7ed8\u5236\u5404\u79cd\u56fe\u5f62\uff0c\u5e76\u5c06\u70b9\u901a\u8fc7\u7ebf\u8fde\u63a5\u8d77\u6765\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u6298\u7ebf\u56fe\uff0c\u8fd8\u662f\u5305\u542b\u591a\u7ec4\u6570\u636e\u7684\u590d\u6742\u56fe\u5f62\uff0cMatplotlib\u90fd\u80fd\u591f\u6ee1\u8db3\u6211\u4eec\u7684\u9700\u6c42\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Python\u7ed8\u56fe\u6280\u672f\u3002<\/p>\n<\/p>\n
              \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
               \u5982\u4f55\u5728Python\u4e2d\u7ed8\u5236\u70b9\u5e76\u5c06\u5b83\u4eec\u8fde\u63a5\u6210\u7ebf\uff1f<\/strong>
              \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528matplotlib<\/code>\u5e93\u6765\u7ed8\u5236\u70b9\u5e76\u5c06\u5b83\u4eec\u8fde\u63a5\u6210\u7ebf\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86matplotlib<\/code>\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip install matplotlib<\/code>\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\u3002\u63a5\u7740\uff0c\u53ef\u4ee5\u4f7f\u7528plt.plot()<\/code>\u65b9\u6cd5\u4f20\u5165\u70b9\u7684\u5750\u6807\uff0c\u7ed8\u5236\u51fa\u8fde\u63a5\u7ebf\u3002<\/p>\n
              \u4f7f\u7528\u54ea\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u81ea\u5b9a\u4e49\u7ebf\u6761\u7684\u6837\u5f0f\u548c\u989c\u8272\uff1f<\/strong>
              \u5728matplotlib<\/code>\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u8c03\u6574\u7ebf\u6761\u7684\u6837\u5f0f\u548c\u989c\u8272\u3002plt.plot()<\/code>\u65b9\u6cd5\u4e2d\u53ef\u4ee5\u4f7f\u7528color<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u989c\u8272\uff0clinestyle<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u7ebf\u6761\u6837\u5f0f\uff0c\u5982\u5b9e\u7ebf\u3001\u865a\u7ebf\u7b49\u3002\u4f8b\u5982\uff0c\u4f7f\u7528plt.plot(x, y, color='red', linestyle='--')<\/code>\u53ef\u4ee5\u7ed8\u5236\u7ea2\u8272\u865a\u7ebf\u3002<\/p>\n
              \u5982\u4f55\u5728\u56fe\u4e2d\u6dfb\u52a0\u6807\u7b7e\u548c\u6807\u9898\u4ee5\u589e\u5f3a\u53ef\u8bfb\u6027\uff1f<\/strong>
              \u4e3a\u4e86\u63d0\u5347\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\uff0c\u53ef\u4ee5\u4f7f\u7528plt.xlabel()<\/code>\u548cplt.ylabel()<\/code>\u51fd\u6570\u4e3a\u5750\u6807\u8f74\u6dfb\u52a0\u6807\u7b7e\uff0c\u4f7f\u7528plt.title()<\/code>\u51fd\u6570\u4e3a\u56fe\u5f62\u6dfb\u52a0\u6807\u9898\u3002\u8fd9\u4e9b\u5143\u7d20\u80fd\u591f\u5e2e\u52a9\u89c2\u4f17\u66f4\u597d\u5730\u7406\u89e3\u56fe\u5f62\u6240\u4f20\u8fbe\u7684\u4fe1\u606f\u3002\u4f8b\u5982\uff0cplt.title('\u70b9\u4e0e\u7ebf\u7684\u8fde\u63a5\u793a\u4f8b')<\/code>\u53ef\u4ee5\u4e3a\u56fe\u5f62\u63d0\u4f9b\u4e00\u4e2a\u6e05\u6670\u7684\u4e3b\u9898\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u7ed8\u56fe\uff1a\u5982\u4f55\u5c06\u70b9\u7528\u7ebf\u8fde\u63a5\u8d77\u6765 \u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u3001\u4f7f\u7528plot\u51fd\u6570\u3001\u4f7f\u7528s […]","protected":false},"author":3,"featured_media":1132866,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1132833"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1132833"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1132833\/revisions"}],"predecessor-version":[{"id":1132873,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1132833\/revisions\/1132873"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1132866"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1132833"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1132833"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1132833"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}